Abstract:
The use of partial differential equations to model tumor growth has a long
history, dating back at least 50 years. However, the recent explosion in the
understanding of the strongly linked, multiple scale processes that drive the
advancement of cancer is allowing novel mathematical models of the tumorigenesis
to be developed.Such models facilitate a deeper understanding of the cellular and
molecular interactions associated with tumor initiation, progression, and treatment.
In this talk, I will discuss both classical and contemporary models of tumor growth
and control strategies and highlight their impact on the field.